Maxim Oleynikov
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
-
- SARS-CoV-2 and COVID-19 Research 2
- COVID-19 Clinical Research Studies 2
-
- RNA and protein synthesis mechanisms 2
- DNA and Nucleic Acid Chemistry 2
- RNA modifications and cancer 2
- Co-authors
- Mahmudul Hasan (4 shared papers)Wilson R. Blomberg (4 shared papers)Jatin Machhi (4 shared papers)Bhavesh D. Kevadiya (4 shared papers)Howard E. Gendelman (4 shared papers)Jonathan Herskovitz (4 shared papers)Linda Chang (3 shared papers)Ahmed M. Senan (3 shared papers)
- Journals
- eLife (2 papers)Journal of Neuroimmune Pharmacology (2 papers)Biomaterials (1 paper)Nature Methods (1 paper)Nature Materials (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Maxim Oleynikov
6 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Infectious Diseases 631
- Neurology 143
- Modeling and Simulation 36
- Biomedical Engineering 335
- Molecular Biology 315
Countries citing papers authored by Maxim Oleynikov
This map shows the geographic impact of Maxim Oleynikov's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Maxim Oleynikov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxim Oleynikov more than expected).
Fields of papers citing papers by Maxim Oleynikov
This network shows the impact of papers produced by Maxim Oleynikov. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Maxim Oleynikov. The network helps show where Maxim Oleynikov may publish in the future.
Co-authors
The 25 scholars most cited alongside Maxim Oleynikov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Diagnostics for SARS-CoV-2 infections Hit paper breakdown → | 2021 | 585 |
| 2 | 2020 | 406 | |
| 3 | 2019 | 22 | |
| 4 | 2021 | 5 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2025 | 0 |
About Maxim Oleynikov
Maxim Oleynikov is a scholar working on Infectious Diseases, Molecular Biology, Neurology, Virology and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 1.0k indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 Clinical Research Studies (2 papers), RNA and protein synthesis mechanisms (2 papers), DNA and Nucleic Acid Chemistry (2 papers), RNA modifications and cancer (2 papers), Luminescence and Fluorescent Materials (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Infectious Diseases (631 citations), Neurology (143 citations), Modeling and Simulation (36 citations), Biomedical Engineering (335 citations) and Molecular Biology (315 citations). Maxim Oleynikov has collaborated with scholars based in United States, India and China. Frequent co-authors include Mahmudul Hasan, Wilson R. Blomberg, Jatin Machhi, Bhavesh D. Kevadiya, Howard E. Gendelman, Jonathan Herskovitz, Linda Chang, Ahmed M. Senan, Milankumar Patel and Santhi Gorantla. Their work appears in journals such as eLife, Journal of Neuroimmune Pharmacology, Biomaterials, Nature Methods and Nature Materials.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.